This MCP server has critically inadequate tool definitions. The single tool 'execute_skill_action' has no visible input schema, no parameter descriptions, no output schema documentation, and only a minimal description (48 chars). The source code shows a non-functional stub implementation that prints a JSON preamble and exits, there is no actual MCP protocol handler, no tool registration mechanism, and no ability to receive or respond to tool calls. The server does not implement the MCP specification at all.

• Define a complete input schema for execute_skill_action with explicit parameter names, types, and descriptions. Example: { 'skill_id': string (required, description: 'Identifier of the skill to execute'), 'action_type': enum (required, values: ['plan', 'execute', 'verify'], description: 'Type of action to perform'), 'context': object (optional, description: 'Execution context with goal, constraints, etc.'), 'dry_run': boolean (optional, default: false, description: 'If true, simulate execution without side effects') }
• Rewrite the tool description to 150 - 250 characters following the pattern: 'Executes a specific skill action within the hierarchical planning workflow. Use this to run plan, execute, or verify actions on a given goal. Returns the action result or error. Requires skill_id and action_type.'
• Add documentation for the output schema, e.g., { 'status': string ('success' | 'failure' | 'pending'), 'result': object or string, 'error_message': string (if status='failure'), 'execution_id': string (for tracing) }
• Rename the tool from 'execute_skill_action' to a more specific name that clarifies intent, e.g., 'run_skill_action' or 'plan_next_step', depending on what it actually does.
• Implement actual MCP protocol handling in mcp_server.py using the official MCP Python SDK or a compatible framework. The current implementation is a non-functional stub. Implement the request/response loop, tool call handling, and proper MCP message formatting.
• Add error handling with actionable guidance. Document failure modes (skill not found, invalid action type, execution timeout) and what the agent should try next.